• DocumentCode
    1552325
  • Title

    Characterization of a two-dimensional subsurface object with an effective scattering model

  • Author

    Budko, Neil V. ; van den Berg, P.M.

  • Author_Institution
    Lab. of Electromagn. Res., Delft Univ. of Technol., Netherlands
  • Volume
    37
  • Issue
    5
  • fYear
    1999
  • fDate
    9/1/1999 12:00:00 AM
  • Firstpage
    2585
  • Lastpage
    2596
  • Abstract
    The problem of the location and characterization of a two-dimensional (2-D) subsurface object is formulated as the inverse problem for an effective scattering model. An arbitrary finite-sized buried object is described as a subsurface circular cylinder with the radius, permittivity, and position of its center to be determined. The inversion is performed in a nonlinearized way, minimizing the discrepancy between the actual scattered field and that of the effective scattering model. A simple and quick solution for a circular cylinder embedded in a lossy half space is introduced. As far as numerical efficiency is concerned, the obtained approximate algorithm is comparable to the free-space solution. The location algorithm has been tested with the two-dimensional models of plastic antipersonnel land mines
  • Keywords
    buried object detection; electromagnetic wave scattering; inverse problems; military radar; radar detection; arbitrary finite-sized buried object; characterization; effective scattering model; inverse problem; location; lossy half space; numerical efficiency; plastic antipersonnel land mines; subsurface circular cylinder; two-dimensional subsurface object; Buried object detection; Electromagnetic measurements; Electromagnetic scattering; Green function; Ground penetrating radar; Inverse problems; Landmine detection; Permittivity; Radar scattering; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.789653
  • Filename
    789653